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Joint Efficient Priority-Aware Scheduling and AoII Estimation for Semantic Transmissions in IIoT
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DOI：10.1109/tgcn.2026.3715798.png)
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Abstract
En 中文
Industrial Internet of Things (IIoT) has been an essential technology in industry development, which brings the industry an interconnected ecosystem. However, massive connected sensors, actuators, and industrial devices produce large amount of data to deal with and massive resources to allocate. Traditional communications in IIoT transmit bulk raw data to the edge servers, which increases the burden on the networks, especially when large number of nodes transmit information simultaneously. Semantic Communication (SemCom) transmits semantics instead of raw data, which can increase the transmission efficiency and improve the resource utilization. However, semantic transmission still faces severe conflicts when large number of nodes initialize at the same time. In this article, we propose a priority-aware contention resolution approach for semantic transmission in IIoT. Specifically, considering the applications in industry, we divide the downstream tasks into high-priority and low-priority tasks, and we assume that the nodes are arranged with a Priority IDentification (PID) to recognize corresponding tasks. Based on the PIDs, we design a contention scheduling approach for SemCom in IIoT. Furthermore, we formulate the models of Age of Information (AoI) and minimize the Age of Incorrect Information (AoII) in the system. Then, we estimate AoII and semantic performance to illustrate the impacts of the parameters on the system performance. The experimental results show that the proposed approach is a promising solution to allocate the massive nodes for semantic transmission in IIoT.
Keywords:
Priority-aware
semantic transmission
Internet of Things
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